Job Description

We are seeking a highly experienced Backend Engineer skilled in GoLang to build and deploy our InfraMetrics Collector. This engineer will play a critical role in: Developing a highly secure, containerized infrastructure monitoring component Seamlessly integrating with on-prem & cloud environments Ensuring VAPT compliance and API security Pushing collected metrics to our SaaS platform efficiently This role requires deep expertise in cloud-native architectures, API security, Kubernetes APIs, and infrastructure monitoring. This role will report to the Head of Software Engineering. Key Responsibilities: Develop our InfraMetrics Collector using GoLang for seamless integration with customer on-prem data centers and cloud environments. Collect infrastructure and Kubernetes cluster resource metrics from various environments, ensuring accuracy and reliability. Call Kubernetes APIs to install infrastructure toolkits on customer VMware vCenter or Kubernetes clusters. Ensure the component meets high security standards, passes Vulnerability Assessment & Penetration Testing (VAPT), and complies with API security best practices. Deploy the component as a secure containerized service (Docker, Kubernetes) to be easily run in customer environments. Push collected infrastructure metrics to our SaaS platform into a distributed (e.g., Cassandra) or relational (e.g., PostgreSQL) database, applying time-series segregation for analytics. Implement unit and integration tests to validate performance, reliability, and security. Optimize the system for minimal resource usage, ensuring high availability and scalability. Work in Agile development cycles, participating in sprint planning, code reviews, and security audits. Experience: 5+ years of hands-on backend engineering experience in building enterprise-grade production applications. Strong expertise in GoLang and Python for backend development. Experience with infrastructure monitoring tools (Prometheus, Grafana, OpenTelemetry, Telegraf, etc.). Deep understanding of Kubernetes APIs, including resource metrics collection and automation. Experience integrating with cloud/on-prem platforms such as AWS, Azure, GCP, VMware vCenter, OpenShift. Strong security background, including API security (OAuth, JWT, mTLS) and VAPT compliance. Containerization expertise using Docker, Kubernetes, Helm. Hands-on experience with time-series and distributed databases (e.g., Cassandra, PostgreSQL). Experience building CI/CD pipelines to automate testing and secure deployment. Proficiency in RESTful and gRPC API development and security best practices. Nice to have: Experience with server-side rendering (Next.js). Knowledge of WebSockets and real-time data streaming in dashboards. Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with front-end performance optimization techniques.